Papers citing "A Field Guide to Federated Optimization"

50 / 294 papers shown

Title
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients Yao Shu Xiaoqiang Lin Zhongxiang Dai Bryan Kian Hsiang Low FedML 179 8 0 08 Aug 2023
FLIPS: Federated Learning using Intelligent Participant SelectionInternational Middleware Conference (Middleware), 2023 R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 202 5 0 07 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer GenomicsFuture generations computer systems (FGCS), 2023 Alberto Archetti F. Ieva Matteo Matteucci FedML 106 13 0 04 Aug 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 187 5 0 25 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated LearningKnowledge Discovery and Data Mining (KDD), 2023 Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 151 28 0 18 Jul 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited LabelsIEEE International Conference on Computer Vision (ICCV), 2023 Yae Jee Cho Gauri Joshi Dimitrios Dimitriadis FedML 115 10 0 17 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence GuaranteeConference on Algebraic Informatics (CAI), 2023 Gerry Windiarto Mohamad Dunda Shenghui Song FedML 185 2 0 10 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A SurveySIGKDD Explorations (SIGKDD Explor.), 2023 Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 215 15 0 10 Jul 2023
Improving Federated Aggregation with Deep Unfolding Networks S. Nanayakkara Mengyue Deng Gang Li FedML 119 0 0 30 Jun 2023
Towards a Better Theoretical Understanding of Independent Subnetwork TrainingInternational Conference on Machine Learning (ICML), 2023 Egor Shulgin Peter Richtárik AI4CE 268 8 0 28 Jun 2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity Yue Liu Yasin Esfandiari Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 211 6 0 23 Jun 2023
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking ApproachIEEE Conference on Decision and Control (CDC), 2023 Yan Huang Jinming Xu 119 6 0 12 Jun 2023
Fair yet Asymptotically Equal Collaborative LearningInternational Conference on Machine Learning (ICML), 2023 Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 125 12 0 09 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos Volkan Cevher FedML OOD 168 12 0 08 Jun 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local UpdatesInternational Conference on Learning Representations (ICLR), 2023 Siqi Zhang S. Choudhury Sebastian U. Stich Nicolas Loizou FedML 296 8 0 08 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated AveragingInternational Conference on Learning Representations (ICLR), 2023 Maroun Touma Mingyue Ji FedML 167 0 0 06 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 192 11 0 05 Jun 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive ImagingNeural Information Processing Systems (NeurIPS), 2023 Jiamian Wang Zong-Jhe Wu Yulun Zhang Xin Yuan Tao Lin Zhiqiang Tao FedML 287 8 0 01 Jun 2023
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning M.Yashwanth Gaurav Kumar Nayak Aryaveer Singh Yogesh Singh Anirban Chakraborty FedML 247 1 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware CollaborationInternational Conference on Machine Learning (ICML), 2023 Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 175 94 0 30 May 2023
Deep Equilibrium Models Meet Federated LearningEuropean Signal Processing Conference (EUSIPCO), 2023 A. Gkillas D. Ampeliotis K. Berberidis FedML 138 3 0 29 May 2023
Federated Learning of Gboard Language Models with Differential PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Zheng Xu Yanxiang Zhang Galen Andrew Christopher A. Choquette-Choo Peter Kairouz H. B. McMahan Jesse Rosenstock Yuanbo Zhang FedML 357 96 0 29 May 2023
FAVANO: Federated AVeraging with Asynchronous NOdesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Louis Leconte Van Minh Nguyen Eric Moulines FedML 178 3 0 25 May 2023
Federated Composite Saddle Point Optimization Site Bai Brian Bullins FedML 132 0 0 25 May 2023
Federated Variational Inference: Towards Improved Personalization and GeneralizationAAAI Spring Symposia (ASS), 2023 Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 147 4 0 23 May 2023
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning Kai Yi Laurent Condat Peter Richtárik FedML 139 5 0 22 May 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Yue Liu H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 218 44 0 20 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 112 2 0 15 May 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous DataIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 309 16 0 13 May 2023
Federated Ensemble-Directed Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 143 1 0 04 May 2023
Cuttlefish: Low-Rank Model Training without All the TuningConference on Machine Learning and Systems (MLSys), 2023 Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 242 26 0 04 May 2023
Hyperparameter Optimization through Neural Network PartitioningInternational Conference on Learning Representations (ICLR), 2023 Bruno Mlodozeniec M. Reisser Christos Louizos 157 10 0 28 Apr 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 128 17 0 14 Apr 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 177 41 0 14 Apr 2023
Edge-cloud Collaborative Learning with Federated and Centralized FeaturesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 140 19 0 12 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 135 1 0 11 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 132 0 0 11 Apr 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex OptimizationNeural Information Processing Systems (NeurIPS), 2023 Kfir Y. Levy Kfir Y. Levy FedML 179 4 0 09 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated OptimizationIEEE Access (IEEE Access), 2023 Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 136 2 0 04 Apr 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT NetworksComputers & security (Comput. Secur.), 2023 Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 196 82 0 28 Mar 2023
Federated Learning without Full Labels: A SurveyIEEE Data Engineering Bulletin (IEEE Data Eng. Bull.), 2023 Yilun Jin Yang Liu Kai Chen Qian Yang FedML 131 32 0 25 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated LearningKnowledge Discovery and Data Mining (KDD), 2023 Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 200 36 0 23 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 140 42 0 19 Mar 2023
An Empirical Evaluation of Federated Contextual Bandit Algorithms Alekh Agarwal H. B. McMahan Zheng Xu FedML 190 2 0 17 Mar 2023
Memory-adaptive Depth-wise Heterogeneous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Hang Zhang Lichao Sun FedML 109 11 0 08 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential PrivacyJournal of Artificial Intelligence Research (JAIR), 2023 Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 365 223 0 01 Mar 2023
Advancements in Federated Learning: Models, Methods, and PrivacyACM Computing Surveys (ACM Comput. Surv.), 2023 Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 236 24 0 22 Feb 2023
Federated Gradient Matching PursuitIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 Halyun Jeong Deanna Needell Jing Qin FedML 124 1 0 20 Feb 2023
TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation Laurent Condat Ivan Agarský Grigory Malinovsky Peter Richtárik FedML 236 3 0 20 Feb 2023
Revisiting Weighted Aggregation in Federated Learning with Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Zexi Li Tao Lin Xinyi Shang Chao-Xiang Wu FedML 227 92 0 14 Feb 2023